Recent named entity recognition and classification techniques: a systematic review A Goyal, V Gupta, M Kumar Computer Science Review 29, 21-43, 2018 | 344 | 2018 |
k-nearest neighbor based offline handwritten Gurmukhi character recognition M Kumar, MK Jindal, RK Sharma 2011 International Conference on Image Information Processing, 1-4, 2011 | 108 | 2011 |
Segmentation of isolated and touching characters in offline handwritten Gurmukhi script recognition M Kumar, MK Jindal, RK Sharma International Journal of Information Technology and Computer Science 6 (2 …, 2014 | 69 | 2014 |
A new method for line segmentation of handwritten Hindi text NK Garg, L Kaur, MK Jindal 2010 seventh international conference on information technology: new …, 2010 | 69 | 2010 |
Segmentation of handwritten Hindi text NK Garg, L Kaur, MK Jindal International Journal of Computer Applications 1 (4), 22-26, 2010 | 69 | 2010 |
Performance evaluation of classifiers for the recognition of offline handwritten Gurmukhi characters and numerals: a study M Kumar, MK Jindal, RK Sharma, SR Jindal Artificial Intelligence Review 53, 2075-2097, 2020 | 67 | 2020 |
Character and numeral recognition for non-Indic and Indic scripts: a survey M Kumar, MK Jindal, RK Sharma, SR Jindal Artificial Intelligence Review 52, 2235-2261, 2019 | 66 | 2019 |
DeepNetDevanagari: a deep learning model for Devanagari ancient character recognition SR Narang, M Kumar, MK Jindal Multimedia Tools and Applications 80, 20671-20686, 2021 | 56 | 2021 |
Segmentation of horizontally overlapping lines in printed Indian scripts MK Jindal, RK Sharma, GS Lehal International Journal of Computational Intelligence Research 3 (4), 277-286, 2007 | 55 | 2007 |
Improved recognition results of medieval handwritten Gurmukhi manuscripts using boosting and bagging methodologies M Kumar, SR Jindal, MK Jindal, GS Lehal Neural Processing Letters 50, 43-56, 2019 | 53 | 2019 |
Efficient feature extraction techniques for offline handwritten Gurmukhi character recognition M Kumar, RK Sharma, MK Jindal National Academy Science Letters 37, 381-391, 2014 | 52 | 2014 |
The recent state of educational data mining: A survey and future visions K Sukhija, M Jindal, N Aggarwal 2015 IEEE 3rd International Conference on MOOCs, Innovation and Technology …, 2015 | 51 | 2015 |
On the recognition of Devanagari ancient handwritten characters using SIFT and Gabor features SR Narang, MK Jindal, S Ahuja, M Kumar Soft Computing 24, 17279-17289, 2020 | 46 | 2020 |
Offline handwritten Gurmukhi character recognition: Study of different feature-classifier combinations M Kumar, RK Sharma, MK Jindal Proceeding of the workshop on Document Analysis and Recognition, 94-99, 2012 | 43 | 2012 |
SVM based offline handwritten Gurmukhi character recognition M Kumar, RK Sharma, MK Jindal SCAKD Proceedings 758, 51-62, 2011 | 43 | 2011 |
A novel hierarchical technique for offline handwritten Gurmukhi character recognition M Kumar, MK Jindal, RK Sharma National Academy Science Letters 37, 567-572, 2014 | 41 | 2014 |
Classification of characters and grading writers in offline handwritten Gurmukhi script M Kumar, MK Jindal, RK Sharma 2011 International Conference on Image Information Processing, 1-4, 2011 | 41 | 2011 |
A survey of language identification techniques and applications A Garg, V Gupta, M Jindal Journal of Emerging Technologies in Web Intelligence 6 (4), 388-400, 2014 | 38 | 2014 |
On Segmentation of touching characters and overlapping lines in degraded printed Gurmukhi script MK Jindal, GS Lehal, RK Sharma International Journal of Image and Graphics 9 (03), 321-353, 2009 | 38 | 2009 |
A novel feature extraction technique for offline handwritten Gurmukhi character recognition M Kumar, RK Sharma, MK Jindal IETE Journal of Research 59 (6), 687-691, 2013 | 37 | 2013 |